• The DAUF project - “Datadriven Analys och Uppföljning av KTHs Forskning”

• A demo of the “KTH Publication Analysis app” with projects data from CASE

• Overview of available data sources for projects at KTH

• Your questions and feedback

About the project

Collaboration within VS, between KTH-Library, RSO and ITA.
Agile model with 2 week sprints.
Creating services and tools for presentation of data, improved data flows and connecting data sources within KTH.

Trend towards better overview of research outputs as well as integration of systems.

Example from Stanford

  Stanford RIALTO project (Youtube)

• DAUF
• Data office (in progress)
• More support and management of research data
• Project to replace HR-system
• Strategisk verksamhetsanalys
• Updated budgeting tool

The idea is that the analysis app will complement the Annual bibliometric monitoring (ABM), and answer questions like:

• Who are the main collaborating partners to the division of Electric Power and Energy Systems?

• How large co-publication output between is the publication output of the department of Gene technology over time, in co-publication with German organisations?

• Which senior staff at CBH is collaborating with MIT, and what is the bibliometric performance of this research compared to CBH baseline?

• What is the publication output and project count for an ad hoc grouping of staff related to a particular project?

https://analysis.sys.kth.se/bibliometrics/app/publ_analysis

  Collaboration network

Projects related to staff from ITM:Energy technology

TECoSA (Trustworthy Edge Computing Systems and Applications) Centre running since 2020 used as example, based on 9 PIs.

• 462 publications 2010-2022

• 137 publications 2020-2022 (e.g. from the TECoSA-period)

• 28 projects in CASE

• 14 projects 2020-2022 (seems to be more in CASE, but some with missing data on duration)

• Info on funders and SDG-goals on projects

• Picture of collaborations, through co-publication

DAUF has been building bottom-up data consolidation and analytics for KTH, making links between Researchers <-> Outputs <-> Projects <-> Organisations

“Which projects are active? Which researchers are involved? From which organisations? Grant sizes?”

There is no single “source of truth” for all projects at KTH. Data requirements depend on who asks the questions and for what purpose.

• What is a project, really? It is an amorphous/vague concept:
  • Externally financed research activity, i.e. requires that funder(s) and funding exists?
  • A call which has (not yet?) been awarded financing?
  • Internal ongoing “project work” - internally financed?
  • A way to topically group publications and their authors together?

What are the most important questions you have in relation to projects at KTH?

• Internal source at KTH (Efecte Edge) - a “Case Management System for Research Projects”
• Keeps track of agreements, contracts, legal documents
• Could be a good source for internally financed projects
• Can complement what is missing from other open sources
• Comparatively more diverse (project types, funding organizations)

• Encompasses projects that have received funding from 29 different agencies, covering a time frame from 2009 to 2024

• Although information on funding organizations is available, it remains insufficient and requires improvement (e.g. 22% are NA)

Synergies and Challenges of Integrating Heterogeneous KTH Project Datasets

Synergies and Challenges of Integrating Heterogeneous KTH Project Datasets

Overlap - Unions and intersections for different data sources

Details: Combining CASE with Swecris

• Do you have a need to follow-up projects from both the “contract” perspective and the “research subject” perspective?
• Define purpose of different sources. Should CASE be used to complement other external sources?

======= # Discussion, Questions, Feedback {data-background=assets/bg/kth-2.png data-background-size=cover}

Determined based on your input and directions provided by product owners.

• Subject area analysis in KTH Publication Analysis app
  • UKÄ/SCB categories
  • Topic clusters and keywords
  • Journal classifications
• Improved filtering
• Preliminary merged project list (based on CASE + external sources)